Statsmodels: statistical modeling and econometrics in Python
A library of scalable Bayesian generalised linear models with fancy features
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
Bayesian Generalized Linear Models with Time-Varying Coefficients
BAS R package for Bayesian Model Averaging and Variable Selection
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Fit generalized linear models in python.
Extensions and additions to vcd: Visualizing Categorical Data
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
🎓 Tidy regression tools for academics
From linear regression towards neural networks...
Modelling DNA methylation profiles
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
Fitting dose-response models in R
A simple framework for ANOVA on various types of Julia statistical models
Sorted L1 Penalized Estimation
A GLM based approach to measure CFC
gnm package for generalized nonlinear models in R
R package that provides a parallel estimation method for generalized linear models
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